Software Indian Community

Veefin pushes beyond its core finance software by buying into a Singapore-based AI startup, aiming to help banks make faster, more confident lending decisions from messy real-world data. The bigger story is whether this AI add-on can unlock new features to sell to existing customers while helping the company break into more international markets.Read more

KPIT Technologies is a rare specialist that builds the software inside modern cars, and the recent slump looks driven more by temporary setbacks than a broken business. The story hinges on whether new product-style offerings, wider use of AI, and expansion into newer markets can restart growth before weaker carmakers and a tough Europe drag results down again.Read more

Ceinsys Tech Ltd (CEINSYS) – DCF Valuation (as of 12 March 2026)Using the two-stage Discounted Cash Flow (FCFF) model, I have calculated the intrinsic fair value based on the latest consolidated financials from Screener.in, company earnings releases, and the Q3 FY26 earnings call transcript (order book ₹999 Cr as of Dec 2025, management hint of FY26 revenue ~₹700 Cr+).Key Inputs (Latest Available): TTM Revenue: ₹632 Cr | FY25: ₹418 Cr 9M FY26 Revenue: ₹490 Cr | PAT: ₹96 Cr Order book: ₹999 Cr (strong 1.5x+ TTM sales visibility) EBITDA margin (recent): 21–23.5% Net debt: ~₹30 Cr (conservative; borrowings ₹75 Cr minus estimated cash) Shares outstanding: 17.85 million (1.785 Cr shares from ₹18 Cr equity capital at ₹10 face value) Beta: ~0.57 (low volatility) My Base-Case Assumptions (Balanced & Realistic): FY26E Revenue: ₹680 Cr (9M run-rate + Q4 momentum) 5-year explicit growth (FY27–FY31): 35% → 30% → 25% → 20% → 15% (tapered; supported by order book, geospatial infra boom at 20%+ national CAGR, and execution track record) EBITDA margin: 22% (FY26–28) → 23–23.5% (improving scale & mix) Depreciation: 2% of revenue Capex: 3.5% of revenue (low; management confirmed no major tech capex planned beyond opex for AI/ML) Δ Working Capital: 12% of incremental revenue (conservative allowance for 221 debtor days; assumes gradual normalisation) Tax rate: 25% WACC: 10.8% (Rf 6.8% + beta 0.57 × 7% ERP; debt weight negligible) Terminal growth: 4% (long-term India GDP/infra sustainable rate) Explicit period: FY26–FY30; Terminal Value at end-FY30 using perpetuity formula on FY31 FCFF Projected Financials & FCFF (₹ Cr): Year Revenue EBITDA Margin FCFF (Free Cash Flow to Firm) FY26E 680 22.0% 88.2 FY27E 918 22.0% 95.4 FY28E 1,193 22.0% 128.1 FY29E 1,492 23.0% 176.8 FY30E 1,790 23.0% 219.3 FY31E 2,059 23.5% 268.9 (for TV calc) Terminal Value (end-FY30): ₹4,112 Cr Enterprise Value: ₹2,962 Cr Equity Value: ₹2,932 Cr (after net debt) Fair Value per Share: ₹1,643 Upside from Current Price (₹1,000–1,037 range): 58–64% (base case).Sensitivity Analysis (Fair Value per Share): Conservative (WACC 11.5%, growth -5% pts, ΔWC 15%, EBITDA 21%): ₹1,250–1,320 Base (as above): ₹1,643 Optimistic (WACC 10.0%, growth +5% pts, ΔWC 8%, EBITDA 24%): ₹1,950–2,100 Alternative (Exit multiple 22x FY30 EBITDA instead of perpetuity): ~₹1,780–1,850 (aligns with some analyst models) Comparison with Other Methods (for cross-check): Current TTM P/E: 15.4x → Forward FY27E P/E ~10–11x (very attractive vs. IT/geospatial peers 20–25x) Historical median intrinsic models: ~₹1,246 Overall DCF range: ₹1,300–1,850 (central tendency ~₹1,550–1,650) Why the Model is Robust: Order book provides high visibility for first 2–3 years.Read more

A small software maker says it expects to land several large, repeat contracts for a newly built product, and the business argues that much of that revenue could fall straight to profit because the software is already made. The big question is whether those deals show up in upcoming reports—and if they do, the company could look very different from what the market assumes today.Read more

Key Takeaways Expansion into advanced AI, automation, and new industry verticals is driving higher-margin contracts and greater revenue stability amid changing global demand. Focus on high-value digital services, operational efficiency, and specialized sales is strengthening earnings resilience and positioning for long-term growth.Read more

Mphasis is leaning hard into AI-driven IT work for banks and insurers, betting that clients will shift more of their spending toward automated, platform-based projects. The big question is whether it can grow fast enough to offset any price pressure on older services while staying reliant on major cloud and AI partners.Read more

Happiest Minds is leaning into AI, automation, and cloud work to win bigger projects and reach more industries, while using new products and acquisitions to broaden its customer base. The flip side is that a handful of large clients and a shaky global spending backdrop could quickly slow growth, and hiring pressure plus ongoing investment could squeeze profits.Read more

Tata Consultancy Services faces a tricky shift as clients push for more work to be automated, which could weaken the company’s traditional cost advantage and squeeze its profits even if sales keep rising. The bigger question is whether new AI-driven offerings and infrastructure bets can replace slower, steadier work before the old model starts to fade.Read more

Coforge is betting that AI-driven services, cloud projects, and deep industry know-how help it win bigger, longer customer contracts and keep profits steadier over time. But its growth story also leans on a handful of key clients and big new investments, and fast-moving AI tools could squeeze prices if it can’t keep innovating.Read more